Sex Difference of Egfr Expression and Molecular Pathway in the Liver
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Cell Adhesion and Specificity
RESEARCH ARTICLE Molecular basis of sidekick-mediated cell- cell adhesion and specificity Kerry M Goodman1†, Masahito Yamagata2,3†, Xiangshu Jin1,4‡, Seetha Mannepalli1, Phinikoula S Katsamba4,5, Go¨ ran Ahlse´ n4,5, Alina P Sergeeva4,5, Barry Honig1,4,5,6,7*, Joshua R Sanes2,3*, Lawrence Shapiro1,5,7* 1Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States; 2Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States; 3Center for Brain Science, Harvard University, Cambridge, United States; 4Howard Hughes Medical Institute, Columbia University, New York, United States; 5Department of Systems Biology, Columbia University, New York, United States; 6Department of Medicine, Columbia University, New York, United States; 7Zuckerman Mind Brain and Behavior Institute, Columbia University, New York, United States *For correspondence: bh6@cumc. Abstract Sidekick (Sdk) 1 and 2 are related immunoglobulin superfamily cell adhesion proteins columbia.edu (BH); sanesj@mcb. required for appropriate synaptic connections between specific subtypes of retinal neurons. Sdks harvard.edu (JRS); shapiro@ mediate cell-cell adhesion with homophilic specificity that underlies their neuronal targeting convex.hhmi.columbia.edu (LS) function. Here we report crystal structures of Sdk1 and Sdk2 ectodomain regions, revealing similar †These authors contributed homodimers mediated by the four N-terminal immunoglobulin domains (Ig1–4), arranged in a equally to this work horseshoe conformation. These Ig1–4 horseshoes interact in a novel back-to-back orientation in both homodimers through Ig1:Ig2, Ig1:Ig1 and Ig3:Ig4 interactions. Structure-guided mutagenesis Present address: ‡Department results show that this canonical dimer is required for both Sdk-mediated cell aggregation (via trans of Chemistry, Michigan State interactions) and Sdk clustering in isolated cells (via cis interactions). -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
A CRISPR-Based Screen for Hedgehog Signaling Provides Insights Into Ciliary Function and Ciliopathies
ARTICLES https://doi.org/10.1038/s41588-018-0054-7 A CRISPR-based screen for Hedgehog signaling provides insights into ciliary function and ciliopathies David K. Breslow 1,2,7*, Sascha Hoogendoorn 3,7, Adam R. Kopp2, David W. Morgens4, Brandon K. Vu2, Margaret C. Kennedy1, Kyuho Han4, Amy Li4, Gaelen T. Hess4, Michael C. Bassik4, James K. Chen 3,5* and Maxence V. Nachury 2,6* Primary cilia organize Hedgehog signaling and shape embryonic development, and their dysregulation is the unifying cause of ciliopathies. We conducted a functional genomic screen for Hedgehog signaling by engineering antibiotic-based selection of Hedgehog-responsive cells and applying genome-wide CRISPR-mediated gene disruption. The screen can robustly identify factors required for ciliary signaling with few false positives or false negatives. Characterization of hit genes uncovered novel components of several ciliary structures, including a protein complex that contains δ -tubulin and ε -tubulin and is required for centriole maintenance. The screen also provides an unbiased tool for classifying ciliopathies and showed that many congenital heart disorders are caused by loss of ciliary signaling. Collectively, our study enables a systematic analysis of ciliary function and of ciliopathies, and also defines a versatile platform for dissecting signaling pathways through CRISPR-based screening. he primary cilium is a surface-exposed microtubule-based approach. Indeed, most studies to date have searched for genes that compartment that serves as an organizing center for diverse either intrinsically affect cell growth or affect sensitivity to applied Tsignaling pathways1–3. Mutations affecting cilia cause ciliopa- perturbations16–23. thies, a group of developmental disorders including Joubert syn- Here, we engineered a Hh-pathway-sensitive reporter to enable drome, Meckel syndrome (MKS), nephronophthisis (NPHP), and an antibiotic-based selection platform. -
Ma-And-Mayr-Cell-2018.Pdf
Article A Membraneless Organelle Associated with the Endoplasmic Reticulum Enables 30UTR-Mediated Protein-Protein Interactions Graphical Abstract Authors Weirui Ma, Christine Mayr Correspondence [email protected] In Brief ER-associated granules foster selective protein-protein interactions dictated by the nucleotide composition of the encoding mRNA. Highlights d TIS granules are membraneless organelles intertwined with the endoplasmic reticulum d TIS11B forms TIS granules that enrich or exclude specific mRNAs and proteins in vivo d TIS granules enable translation of mRNAs with AU-rich elements at an ER subdomain d Specific protein-protein interactions can only be formed in the TIS granule region Ma & Mayr, 2018, Cell 175, 1–15 November 29, 2018 ª 2018 Elsevier Inc. https://doi.org/10.1016/j.cell.2018.10.007 Please cite this article in press as: Ma and Mayr, A Membraneless Organelle Associated with the Endoplasmic Reticulum Enables 30UTR- Mediated Protein-Protein Interactions, Cell (2018), https://doi.org/10.1016/j.cell.2018.10.007 Article A Membraneless Organelle Associated with the Endoplasmic Reticulum Enables 30UTR-Mediated Protein-Protein Interactions Weirui Ma1 and Christine Mayr1,2,* 1Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA 2Lead Contact *Correspondence: [email protected] https://doi.org/10.1016/j.cell.2018.10.007 SUMMARY cesses, including signaling and the addition of post-translational modifications (Li et al., 2012; Su et al., 2016). Approximately half of human genes generate mRNAs One type of membraneless organelles are RNA granules that with alternative 30 untranslated regions (30UTRs). contain mRNA transcripts packaged into ribonucleoprotein as- Through 30UTR-mediated protein-protein interac- semblies (Han et al., 2012). -
Fine-Scale Survey of X Chromosome Copy Number Variants and Indels Underlying Intellectual Disability
ARTICLE Fine-Scale Survey of X Chromosome Copy Number Variants and Indels Underlying Intellectual Disability Annabel C. Whibley,1 Vincent Plagnol,1,2 Patrick S. Tarpey,3 Fatima Abidi,4 Tod Fullston,5,6 Maja K. Choma,1 Catherine A. Boucher,1 Lorraine Shepherd,1 Lionel Willatt,7 Georgina Parkin,7 Raffaella Smith,3 P. Andrew Futreal,3 Marie Shaw,8 Jackie Boyle,9 Andrea Licata,4 Cindy Skinner,4 Roger E. Stevenson,4 Gillian Turner,9 Michael Field,9 Anna Hackett,9 Charles E. Schwartz,4 Jozef Gecz,5,6,8 Michael R. Stratton,3 and F. Lucy Raymond1,* Copy number variants and indels in 251 families with evidence of X-linked intellectual disability (XLID) were investigated by array comparative genomic hybridization on a high-density oligonucleotide X chromosome array platform. We identified pathogenic copy number variants in 10% of families, with mutations ranging from 2 kb to 11 Mb in size. The challenge of assessing causality was facilitated by prior knowledge of XLID-associated genes and the ability to test for cosegregation of variants with disease through extended pedigrees. Fine-scale analysis of rare variants in XLID families leads us to propose four additional genes, PTCHD1, WDR13, FAAH2, and GSPT2,as candidates for XLID causation and the identification of further deletions and duplications affecting X chromosome genes but without apparent disease consequences. Breakpoints of pathogenic variants were characterized to provide insight into the underlying mutational mechanisms and indicated a predominance of mitotic rather than meiotic events. By effectively bridging the gap between karyotype-level investigations and X chromosome exon resequencing, this study informs discussion of alternative mutational mechanisms, such as non- coding variants and non-X-linked disease, which might explain the shortfall of mutation yield in the well-characterized International Genetics of Learning Disability (IGOLD) cohort, where currently disease remains unexplained in two-thirds of families. -
ITRAQ-Based Quantitative Proteomic Analysis of Processed Euphorbia Lathyris L
Zhang et al. Proteome Science (2018) 16:8 https://doi.org/10.1186/s12953-018-0136-6 RESEARCH Open Access ITRAQ-based quantitative proteomic analysis of processed Euphorbia lathyris L. for reducing the intestinal toxicity Yu Zhang1, Yingzi Wang1*, Shaojing Li2*, Xiuting Zhang1, Wenhua Li1, Shengxiu Luo1, Zhenyang Sun1 and Ruijie Nie1 Abstract Background: Euphorbia lathyris L., a Traditional Chinese medicine (TCM), is commonly used for the treatment of hydropsy, ascites, constipation, amenorrhea, and scabies. Semen Euphorbiae Pulveratum, which is another type of Euphorbia lathyris that is commonly used in TCM practice and is obtained by removing the oil from the seed that is called paozhi, has been known to ease diarrhea. Whereas, the mechanisms of reducing intestinal toxicity have not been clearly investigated yet. Methods: In this study, the isobaric tags for relative and absolute quantitation (iTRAQ) in combination with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic method was applied to investigate the effects of Euphorbia lathyris L. on the protein expression involved in intestinal metabolism, in order to illustrate the potential attenuated mechanism of Euphorbia lathyris L. processing. Differentially expressed proteins (DEPs) in the intestine after treated with Semen Euphorbiae (SE), Semen Euphorbiae Pulveratum (SEP) and Euphorbiae Factor 1 (EFL1) were identified. The bioinformatics analysis including GO analysis, pathway analysis, and network analysis were done to analyze the key metabolic pathways underlying the attenuation mechanism through protein network in diarrhea. Western blot were performed to validate selected protein and the related pathways. Results: A number of differentially expressed proteins that may be associated with intestinal inflammation were identified. -
Supplementary Table 3: Genes Only Influenced By
Supplementary Table 3: Genes only influenced by X10 Illumina ID Gene ID Entrez Gene Name Fold change compared to vehicle 1810058M03RIK -1.104 2210008F06RIK 1.090 2310005E10RIK -1.175 2610016F04RIK 1.081 2610029K11RIK 1.130 381484 Gm5150 predicted gene 5150 -1.230 4833425P12RIK -1.127 4933412E12RIK -1.333 6030458P06RIK -1.131 6430550H21RIK 1.073 6530401D06RIK 1.229 9030607L17RIK -1.122 A330043C08RIK 1.113 A330043L12 1.054 A530092L01RIK -1.069 A630054D14 1.072 A630097D09RIK -1.102 AA409316 FAM83H family with sequence similarity 83, member H 1.142 AAAS AAAS achalasia, adrenocortical insufficiency, alacrimia 1.144 ACADL ACADL acyl-CoA dehydrogenase, long chain -1.135 ACOT1 ACOT1 acyl-CoA thioesterase 1 -1.191 ADAMTSL5 ADAMTSL5 ADAMTS-like 5 1.210 AFG3L2 AFG3L2 AFG3 ATPase family gene 3-like 2 (S. cerevisiae) 1.212 AI256775 RFESD Rieske (Fe-S) domain containing 1.134 Lipo1 (includes AI747699 others) lipase, member O2 -1.083 AKAP8L AKAP8L A kinase (PRKA) anchor protein 8-like -1.263 AKR7A5 -1.225 AMBP AMBP alpha-1-microglobulin/bikunin precursor 1.074 ANAPC2 ANAPC2 anaphase promoting complex subunit 2 -1.134 ANKRD1 ANKRD1 ankyrin repeat domain 1 (cardiac muscle) 1.314 APOA1 APOA1 apolipoprotein A-I -1.086 ARHGAP26 ARHGAP26 Rho GTPase activating protein 26 -1.083 ARL5A ARL5A ADP-ribosylation factor-like 5A -1.212 ARMC3 ARMC3 armadillo repeat containing 3 -1.077 ARPC5 ARPC5 actin related protein 2/3 complex, subunit 5, 16kDa -1.190 activating transcription factor 4 (tax-responsive enhancer element ATF4 ATF4 B67) 1.481 AU014645 NCBP1 nuclear cap -
Genome-Wide DNA Methylation Analysis Reveals Molecular Subtypes of Pancreatic Cancer
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 17), pp: 28990-29012 Research Paper Genome-wide DNA methylation analysis reveals molecular subtypes of pancreatic cancer Nitish Kumar Mishra1 and Chittibabu Guda1,2,3,4 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA 2Bioinformatics and Systems Biology Core, University of Nebraska Medical Center, Omaha, NE, 68198, USA 3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA 4Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA Correspondence to: Chittibabu Guda, email: [email protected] Keywords: TCGA, pancreatic cancer, differential methylation, integrative analysis, molecular subtypes Received: October 20, 2016 Accepted: February 12, 2017 Published: March 07, 2017 Copyright: Mishra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Pancreatic cancer (PC) is the fourth leading cause of cancer deaths in the United States with a five-year patient survival rate of only 6%. Early detection and treatment of this disease is hampered due to lack of reliable diagnostic and prognostic markers. Recent studies have shown that dynamic changes in the global DNA methylation and gene expression patterns play key roles in the PC development; hence, provide valuable insights for better understanding the initiation and progression of PC. In the current study, we used DNA methylation, gene expression, copy number, mutational and clinical data from pancreatic patients. -
Trypsin-Encoding PRSS1-PRSS2 Variations
ARTICLE Acute Lymphoblastic Leukemia Ferrata Storti Foundation Trypsin-encoding PRSS1-PRSS2 variations influence the risk of asparaginase-associated pancreatitis in children with acute lymphoblastic leukemia: a Ponte di Legno toxicity working group report Haematologica 2019 Benjamin O. Wolthers,1 Thomas L. Frandsen,1 Chirag J. Patel,2 Rachid Abaji,3 Volume 104(3):556-563 Andishe Attarbaschi,4 Shlomit Barzilai,5 Antonella Colombini,6 Gabriele Escherich,7 Marie Grosjean,8 Maja Krajinovic,3,9 Eric Larsen,10 Der-Cherng Liang,11 Anja Möricke,12 Kirsten K. Rasmussen,1 Sujith Samarasinghe,13 Lewis B. Silverman,14 Inge M. van der Sluis,15 Martin Stanulla,16 Morten Tulstrup,1 Rachita Yadav,8,17 Wenjian Yang,18 Ester Zapotocka,19 Ramneek Gupta8 and Kjeld Schmiegelow1,20 on behalf of the Ponte di Legno toxicity working group 1Department of Pediatrics and Adolescent Medicine, University Hospital Rigshospitalet, Copenhagen, Denmark; 2Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; 3CHU Sainte-Justine Research Center and Department of Pharmacology, University of Montreal, QC, Canada; 4Department of Pediatric Hematology and Oncology, St Anna Children's Hospital and Department of Pediatric and Adolescent Medicine, Medical University of Vienna, Austria; 5Pediatric Hematology and Oncology, Schneider Children's Medical Center of Israel, Petah-Tikva, Israel and Sackler Faculty of Medicine, Tel Aviv University, Israel; 6Department of Pediatrics, Ospedale San Gerardo, University of Milano-Bicocca, Fondazione MBBM, Monza, Italy; -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
A Scalable Strategy for High-Throughput GFP Tagging of PNAS PLUS Endogenous Human Proteins
A scalable strategy for high-throughput GFP tagging of PNAS PLUS endogenous human proteins Manuel D. Leonettia,b,1, Sayaka Sekinec,1, Daichi Kamiyamac,2, Jonathan S. Weissmana,b,2, and Bo Huangc,2 aDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94143; bHoward Hughes Medical Institute, University of California, San Francisco, CA 94143; and cDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143 Contributed by Jonathan S. Weissman, April 28, 2016 (sent for review April 6, 2016; reviewed by Hazen P. Babcock and Pietro De Camilli) A central challenge of the postgenomic era is to comprehensively cost-effective manner; (ii) specificity, limiting tag insertion to the characterize the cellular role of the ∼20,000 proteins encoded in genomic target (ideally in a “scarless” manner that avoids insertion the human genome. To systematically study protein function in a of irrelevant DNA such as selection marker genes); (iii) versatility native cellular background, libraries of human cell lines expressing of the tag, preferably allowing both localization and proteomic proteins tagged with a functional sequence at their endogenous analyses; and (iv) selectability of knockin cells. Recently, a strategy loci would be very valuable. Here, using electroporation of Cas9 based on electroporation of Cas9/single-guide RNA (sgRNA) ri- nuclease/single-guide RNA ribonucleoproteins and taking advan- bonucleoprotein complexes (RNPs) has been reported that enables tage of a split-GFP system, we describe a scalable method for the both scalability and specificity (14,15).Inthisapproach,RNPsare robust, scarless, and specific tagging of endogenous human genes assembled in vitro from purified sgRNA and Cas9, both of which with GFP. -
14648 Sec61b (D5Q1W) Rabbit Mab
Revision 1 C 0 2 - t Sec61B (D5Q1W) Rabbit mAb a e r o t S Orders: 877-616-CELL (2355) [email protected] 8 Support: 877-678-TECH (8324) 4 6 Web: [email protected] 4 www.cellsignal.com 1 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source/Isotype: UniProt ID: Entrez-Gene Id: WB, IP, IF-IC H M R Mk Endogenous 12 Rabbit IgG P60468 10952 Product Usage Information 8. Wang, Y.N. et al. (2010) J Biol Chem 285, 38720-9. 9. Wang, Y.N. et al. (2012) J Biol Chem 287, 16869-79. Application Dilution 10. Kelkar, A. and Dobberstein, B. (2009) BMC Cell Biol 10, 11. 11. Abada, P.B. et al. (2012) Mol Pharmacol 82, 510-20. Western Blotting 1:1000 Immunoprecipitation 1:100 Immunofluorescence (Immunocytochemistry) 1:200 - 1:800 Storage Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA, 50% glycerol and less than 0.02% sodium azide. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity Sec61B (D5Q1W) Rabbit mAb recognizes endogenous levels of total Sec61B protein. Species Reactivity: Human, Mouse, Rat, Monkey Source / Purification Monoclonal antibody is produced by immunizing animals with a synthetic peptide corresponding to residues surrounding Gly12 of human Sec61B protein. Background Sec61 translocon is a channel complex located on the endoplasmic reticulum (ER) membrane to mediate membrane protein insertion into the organelle (1). There are three components in the complex, Sec61A, Sec61B, and Sec61G (2).